{"title":"流动性风险与股票收益:收益分解方法","authors":"Shaun A. Bond, Qingqing Chang","doi":"10.2139/ssrn.2148729","DOIUrl":null,"url":null,"abstract":"We study the effect of innovations in liquidity on stock-return volatility under the return-decomposition framework. Using revisions to equity analyst consensus forecasts to measure cash-flow news directly, we contend that both cash-flow news and expected return news correlate with liquidity shocks, and the cash-flow news component is a nontrivial channel through which liquidity correlates with stock returns. Specifically, we find a positive (decrease) liquidity shock for firms that have positive (negative) cash-flow news and expected-return news. Furthermore, since the correlation between liquidity proxies and stock returns also arise from the association of liquidity proxies with the three stock return components, the R^2 from a regression of returns on liquidity proxies may understate or overstate the importance of liquidity as a source of stock-return variance. Finally, liquidity proxies tend to explain stock returns better during negative market liquidity shocks, but this additional explanatory power comes mostly from the increased correlation between liquidity proxies and cash-flow news, while the correlation between liquidity proxies and unexplained stock return variations does not change with market liquidity conditions.","PeriodicalId":129035,"journal":{"name":"Empirical Asset Pricing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Liquidity Risk and Stock Returns: A Return Decomposition Approach\",\"authors\":\"Shaun A. Bond, Qingqing Chang\",\"doi\":\"10.2139/ssrn.2148729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study the effect of innovations in liquidity on stock-return volatility under the return-decomposition framework. Using revisions to equity analyst consensus forecasts to measure cash-flow news directly, we contend that both cash-flow news and expected return news correlate with liquidity shocks, and the cash-flow news component is a nontrivial channel through which liquidity correlates with stock returns. Specifically, we find a positive (decrease) liquidity shock for firms that have positive (negative) cash-flow news and expected-return news. Furthermore, since the correlation between liquidity proxies and stock returns also arise from the association of liquidity proxies with the three stock return components, the R^2 from a regression of returns on liquidity proxies may understate or overstate the importance of liquidity as a source of stock-return variance. Finally, liquidity proxies tend to explain stock returns better during negative market liquidity shocks, but this additional explanatory power comes mostly from the increased correlation between liquidity proxies and cash-flow news, while the correlation between liquidity proxies and unexplained stock return variations does not change with market liquidity conditions.\",\"PeriodicalId\":129035,\"journal\":{\"name\":\"Empirical Asset Pricing\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Empirical Asset Pricing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2148729\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Empirical Asset Pricing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2148729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Liquidity Risk and Stock Returns: A Return Decomposition Approach
We study the effect of innovations in liquidity on stock-return volatility under the return-decomposition framework. Using revisions to equity analyst consensus forecasts to measure cash-flow news directly, we contend that both cash-flow news and expected return news correlate with liquidity shocks, and the cash-flow news component is a nontrivial channel through which liquidity correlates with stock returns. Specifically, we find a positive (decrease) liquidity shock for firms that have positive (negative) cash-flow news and expected-return news. Furthermore, since the correlation between liquidity proxies and stock returns also arise from the association of liquidity proxies with the three stock return components, the R^2 from a regression of returns on liquidity proxies may understate or overstate the importance of liquidity as a source of stock-return variance. Finally, liquidity proxies tend to explain stock returns better during negative market liquidity shocks, but this additional explanatory power comes mostly from the increased correlation between liquidity proxies and cash-flow news, while the correlation between liquidity proxies and unexplained stock return variations does not change with market liquidity conditions.